RBF网络雷达天线扫描方式识别系统  

Scanning-style recognition system of radar antennasbased on RBF network

作　　者：宫新保[1] 沈文辉[1] 金兆彰[1] 周希朗[1] 

机构地区：[1]上海交通大学电子工程系,上海200030

出　　处：《红外与激光工程》2004年第4期437-440,共4页Infrared and Laser Engineering

基　　金：国防科技预研重点课题(33.6.2.7)

摘　　要：采用一种基于免疫算法和最小二乘法的两级学习方法设计径向基函数(RBF)网络,并将其应用于雷达天线扫描方式识别系统。这种RBF网络学习方法通过引入免疫算法的多样性保持机制和免疫记忆机制提高了网络训练算法的优化效率,并在一定程度上抑制了未成熟收敛现象。仿真结果表明,基于这种RBF网络的雷达天线扫描方式识别系统达到了较高的识别精度。A hybrid RBF training method based on immune algorithm and least square method is proposed and applied in radar antenna scanning-style recognition system. By introducing the diversity control and immune memory mechanism in immune algorithm, the efficiency of the network training algorithm is improved and the immature convergence problem is restrained. Computer simulations demonstrate that the recognition system based on the proposed RBF network has & high recognition rate with concise structure.

关 键 词：雷达天线扫描方式 径向基函数网络 免疫算法 最小二乘法 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TN95[自动化与计算机技术—控制科学与工程]